With the height of ring cross-section,ecceutric distance,sum of cross-sectional area ΣF_r and sum of bending rigidity ΣE_rI_(Gra)kept constant,the number of rings is assumed to tend to infinity,and an equivalentorthotropic shell with appropriate elastic constants is obtained as a zero-order approxi-mation.

In order to achieve this aims and based on the relative subordinate and its methods of calculation in reference[1], leading fuzzy entropy into establishing models of multi objective fuzzy optimum model. And the least multi objective fuzzy optimum seeking models are put forward base on the distance sum of fuzzy entropy and distance from the best and the worst, and the models are put into use in optimum seeking schemes of safety monitoring system in mine.

In view of randomness and fuzziness of mine safety system, leading fuzzy entropy into establishing models of assessment models of system risk, a new type of fuzzy pattern recognized model was put forward based on entropy and least generalized distance square sum of weight, which can realize subordinated vector dispersed of system safety grades. Two methods of defined balanced parameters were given between entropy and broad sense distance sum of weight.

Based on a reported fast Kalman filtering algorithm, a high-precision Kalman filtering algorithm of netted radar system is presented for precisely locating a maneuvering target and measuring its velocity. The target's exact radial distance sum in the data processing unit is sent to the Kalman filter.

In this paper, a layout of a multi-static radar system is taken for an example to go deep into analyzing the relationship between the modes of localization and the precisions of localization. The precisions of localization of the three modes of localization: distance sum, distance difference and azimuth angle are calculated and analyzed by formulas, and some universal valuable conclusions are gained after simulation by computer.

The eccentricity e(x) and the distance sum s(x) of a vertex x of a connected graph G are well-known functions which measure the centrality of the vertex x in G.

The values of the eccentric connectivity index and the adjacent eccentric distance sum index of each of 121 analogues comprising the data set were computed and active ranges were identified.

The discriminating power of the adjacent eccentric distance sum index was compared with that of the eccentricconnectivityindex- another adjacency-cum-distance-based topological descriptor.

Many examples (bisector surfaces, constant distance sum/product surfaces, metamorphoses, blending surfaces, smooth approximation surfaces) demonstrate applications of the normalform to surface design.

The problem is now to minimize F, the distance sum from each element of the representation to the following one.

Study on numerical classification for 34 soil profiles in Chengxian County of Gansu Province was carried out by means of a cluster analysis method of standardized variateoblique distance-sum of square error. Indexes used in numerical classification include soil pH, organic matter (O. M.), total N, totoal P, total K, available P, available K, cation exchange capacity (CEC) SiO_2, Al_2O_3, Fe_2O_3, CaCO_3 and physical clay (<0.01 mm). Results obtained from this study showed that 34 soil profiles used...

Study on numerical classification for 34 soil profiles in Chengxian County of Gansu Province was carried out by means of a cluster analysis method of standardized variateoblique distance-sum of square error. Indexes used in numerical classification include soil pH, organic matter (O. M.), total N, totoal P, total K, available P, available K, cation exchange capacity (CEC) SiO_2, Al_2O_3, Fe_2O_3, CaCO_3 and physical clay (<0.01 mm). Results obtained from this study showed that 34 soil profiles used in the experiment may be divided into five soil groups. From variance analysis for eight main indexes (i.e.pH, O.M., CEC, SiO_2, Al_2O_3, Fe_2O_3, CaCO_3 and clay) of the five soil groups shows that the differences of indexes between soil groups are all significant (F_(0.05)) or very significant (F_(0.05)) respectively except pH, CEC and SiO_2 content. In addition, there are also significant differences between soil groups in geographical distribution, vegetation types and calcareous reaction in fields etc.. Each soil group has its marked genetic characters. Compared with genetic classification system, the five soil groups belong to brown earth, leached drab soil, ortho-drab soil, carbonate drab soil and cultivated fluvioaquic soil respectively.

In this paper, the long—term averaged vector of the LPC reflecting coefficient vector abstracted by the Maximum Entropy Spectral Estimation method is used as the speech feature vector of speakers. The efficiency of the feature vectors and the discrimination of speakers for the purpose of text—independent speaker identification is analyzed using the average within speaker variance funeton, the average between speaker variance fuction and the ratial of average between—within speaker variance ruction defined in...

In this paper, the long—term averaged vector of the LPC reflecting coefficient vector abstracted by the Maximum Entropy Spectral Estimation method is used as the speech feature vector of speakers. The efficiency of the feature vectors and the discrimination of speakers for the purpose of text—independent speaker identification is analyzed using the average within speaker variance funeton, the average between speaker variance fuction and the ratial of average between—within speaker variance ruction defined in this paper. A simplized decision equation——the weighted Euclead space distance sum of feature vectors, which is easy for computing and programming, is conduced from the Bayes decision principle. The reciprocal of the average within speaker variance fundtion isselected as the optional weighting function. A sequencial decison principle for refusing the out—set speakers is presented. A correspondent experimental system related with a microcomputer is implemented. The response time is 3 seconds. The performants of text—independent speaker identification test is carried using this system for the population of 20 speakers. The correct rate of the identification is 95. 41percent, the faulse accept rate is 10. 67percent and the faulse refuse rate is 5. 67 percent.

The general a_N index (GAI) was used to characterize the cis, trans isomers of hydrocarbons. The best one-variable equations were obtained with GAI for several physicochemical properties of seven pairs of olefin cis, trans isomers. The linear correlation coefficients are in the range of 0.975 to 0.997. GAI was also compared with the other five topological indices, Randic connectivity index x, Wiener number W, Hosoya index Z, the average distance sum connectivity J proposed by Balahan and a_x index introduced...

The general a_N index (GAI) was used to characterize the cis, trans isomers of hydrocarbons. The best one-variable equations were obtained with GAI for several physicochemical properties of seven pairs of olefin cis, trans isomers. The linear correlation coefficients are in the range of 0.975 to 0.997. GAI was also compared with the other five topological indices, Randic connectivity index x, Wiener number W, Hosoya index Z, the average distance sum connectivity J proposed by Balahan and a_x index introduced by Yang, in correlting with the octane number (MON) of heptanes and octanes.